The phrase "as parallel with" is not commonly used in written English and may sound awkward.
It can be used when comparing two things that are similar or aligned in some way, but it is more effective to use simpler expressions.
Example: "The two theories can be considered as parallel with each other in their approach to understanding human behavior."
Alternatives: "in line with" or "similar to".
Because line E was set to be as parallel as possible with the strike of the anticline, the width of the anticline appears larger in line E than in the other lines.
Free running's philosophy is that each person has their own instinctive approach to different challenges, and Foucan acknowledges the influence of martial arts, as well as parallels with eastern philosophy.
Mendes came across American Beauty in a pile of eight scripts at Swofford's house, and knew immediately that it was the one he wanted to make; early in his career, he had been inspired by how the film Paris, Texas (1984) presented contemporary America as a mythic landscape and he saw the same theme in American Beauty, as well as parallels with his own childhood.
Interestingly, this matter has recently been elucidated, as, in parallel with our study, Sugiyama et al. investigated the 79A > C polymorphism in a population of 251 Japanese patients.
Double-blind RCTs in AS with parallel design, with full paper obtainable were included.
He depicts criminal gangs as parallel institutions with leaner bureaucracies but their own pockets of apathy and petty feuds.
That is why most historians of the relations between science and technology prefer to model them as parallel streams, with interactions in both directions.
There are a few lessons in the current victory tour of Andre Agassi, to promote "Open: An Autobiography," just released by Knopf, as perhaps you have noticed, from reviews, features, television appearances and book signings, as well as parallel interviews with his critics and his collaborator, the talented J.R. Moehringer.
In the CUDA programming model, the GPU as a coprocessor generates a large number of threads to solve the data that can be expressed as parallel data with a very high computational density.
